Slides

Topic	Title	Date
Logistics	0.Logistics	Tue, Sep 02
Statistics & Samples	1.1.Statistics and Samples	Wed, Sep 03
Statistics & Samples	1.2.Statistics and Samples	Mon, Sep 08
Statistics & Samples	1.3.Statistics and Samples	Wed, Sep 10
Statistics & Samples	1.4.Statistics and Samples	Mon, Sep 15
Central tendency and spread	2.1.Displaying & Describing Data	Mon, Sep 15
Central tendency and spread	2.2.Displaying & Describing Data	Wed, Sep 17
Spread and Plots	2.3.Displaying & Describing Data	Mon, Sep 22
Plots and Tables	2.4.Displaying & Describing Data	Wed, Sep 24
Plots and Tables	2.5.Displaying & Describing Data	Mon, Sep 29
Making good plots	2.6.Displaying & Describing Data	Wed, Oct 01
Why study probability	3.1.Probability	Wed, Oct 01
Probability - Foundational Concepts	3.2.Probability	Mon, Oct 06
Probability Rules & Bayes’ Theorem	3.3.Probability	Wed, Oct 08
Probability Rules	3.4.Probability	Mon, Oct 20
Estimation	4.1.Estimation with Uncertainty	Wed, Oct 22
Estimation	4.2.Estimation with Uncertainty	Mon, Oct 27
Standard Error	4.3.Estimation with Uncertainty	Wed, Oct 29
Confidence Intervals	4.4.Estimation with Uncertainty	Mon, Nov 03
Confidence Intervals & Pseudoreplication	4.5.Estimation with Uncertainty	Wed, Nov 05
Hypothesis Testing	5.1.Hypothesis Testing	Wed, Nov 05
Statistical Power	5.2.Hypothesis Testing	Mon, Nov 10
Multiple testing problem	5.3. Hypothesis Testing	Wed, Nov 12
Binomial test	6.1. Analysing proportions	Wed, Nov 12
Binomial test	6.2. Analysing proportions	Mon, Nov 17
Binomial test	6.3. Analysing proportions	Tue, Nov 18
Goodness-of-fit tests	7.1.Goodness-of-fit tests	Wed, Nov 19
Poisson distribution	7.2.Goodness-of-fit tests	Tue, Nov 25
Estimation (RR & OR)	8.1.Contingency Analyses	Wed, Nov 26
2x2 chi-2, Fisher	8.2.Contingency Analyses	Wed, Nov 26
Normal Distribution	9.1. Normal Distribution	Mon, Dec 01
CLT, z- and t-distributions	9.2. Normal Distribution	Wed, Dec 03
t-test, qq-plots, wrap-up	9.3. Normal Distribution	Mon, Dec 08